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langchain-nomic[patch]: Add ruff bandit rules to linter (#31805)

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- Add ruff bandit rules
- Some formatting
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Mason Daugherty 2025-07-01 11:39:11 -04:00 committed by GitHub
parent 0279af60b5
commit 404d8408f4
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3 changed files with 864 additions and 857 deletions
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17
libs/partners/nomic/langchain_nomic/embeddings.py
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@ -10,6 +10,7 @@ class NomicEmbeddings(Embeddings):
"""NomicEmbeddings embedding model. """NomicEmbeddings embedding model.
Example: Example:
.. code-block:: python .. code-block:: python
from langchain_nomic import NomicEmbeddings from langchain_nomic import NomicEmbeddings
@ -66,16 +67,16 @@ class NomicEmbeddings(Embeddings):
Args: Args:
model: model name model: model name
nomic_api_key: optionally, set the Nomic API key. Uses the NOMIC_API_KEY nomic_api_key: optionally, set the Nomic API key. Uses the ``NOMIC_API_KEY``
environment variable by default. environment variable by default.
dimensionality: The embedding dimension, for use with Matryoshka-capable dimensionality: The embedding dimension, for use with Matryoshka-capable
models. Defaults to full-size. models. Defaults to full-size.
inference_mode: How to generate embeddings. One of `remote`, `local` inference_mode: How to generate embeddings. One of ``'remote'``, ``'local'``
(Embed4All), or `dynamic` (automatic). Defaults to `remote`. (Embed4All), or ``'dynamic'`` (automatic). Defaults to ``'remote'``.
device: The device to use for local embeddings. Choices include device: The device to use for local embeddings. Choices include
`cpu`, `gpu`, `nvidia`, `amd`, or a specific device name. See ``'cpu'``, ``'gpu'``, ``'nvidia'``, ``'amd'``, or a specific device
the docstring for `GPT4All.__init__` for more info. Typically name. See the docstring for ``GPT4All.__init__`` for more info.
defaults to CPU. Do not use on macOS. Typically defaults to ``'cpu'``. Do not use on macOS.
""" """
_api_key = nomic_api_key or os.environ.get("NOMIC_API_KEY") _api_key = nomic_api_key or os.environ.get("NOMIC_API_KEY")
if _api_key: if _api_key:
@ -91,8 +92,8 @@ class NomicEmbeddings(Embeddings):
Args: Args:
texts: list of texts to embed texts: list of texts to embed
task_type: the task type to use when embedding. One of `search_query`, task_type: the task type to use when embedding. One of ``'search_query'``,
`search_document`, `classification`, `clustering` ``'search_document'``, ``'classification'``, ``'clustering'``
""" """
output = embed.text( output = embed.text(

7
libs/partners/nomic/pyproject.toml
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@ -50,6 +50,7 @@ select = [
"I", # isort "I", # isort
"T201", # print "T201", # print
"UP", # pyupgrade "UP", # pyupgrade
"S", # security
] ]
ignore = [ "UP007", ] ignore = [ "UP007", ]
@ -77,3 +78,9 @@ markers = [
"compile: mark placeholder test used to compile integration tests without running them", "compile: mark placeholder test used to compile integration tests without running them",
] ]
asyncio_mode = "auto" asyncio_mode = "auto"
[tool.ruff.lint.extend-per-file-ignores]
"tests/**/*.py" = [
"S101", # Tests need assertions
"S311", # Standard pseudo-random generators are not suitable for cryptographic purposes
]

1697
libs/partners/nomic/uv.lock
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